Moabi SaaS Platform


IoT Firmware Challenges

Cybersecurity is widely regarded as the no.1 issue facing the growth of IoT. With the onset of 5G, and the rise of Machine-to-Machine communication, a projected 75billion devices are expected to be connected by 2025. Meanwhile, vital systems ranging from electric grids, health-care technology, critical infrastructure and autonomous vehicles are facing ever more sophisticated cyber-attacks.

Increasingly stringent extraterritorial regulations, inclusive of privacy and data protection acts, are requiring organizations to secure devices and evidence adherence to Secure Software Development Life Cycles (SSDLC).

Supplier Challenges

Industry best practices, such as network vulnerability assessments, fall short when auditing complex devices that do not necessarily feature open network ports. In addition, the nature of industrial processes, where source code is not readily available due to cascading suppliers, renders comprehensive source code reviews impractical. Furthermore, the use of low level languages mandated by resource constrained embedded devices, makes them prone to memory corruptions. For this reason, defense in depth, hardening and compliance, despite being frequently overlooked, are critical.

Governance Challenges

Securing devices requires insight into internal development and security processes. However current processes are largely reliant on vendor self-reporting, by nature opaque, and that in any case, do not absolve organizations from liability.

  • How to evidence adherence to SSDLC across cascading suppliers ?
  • How to assign KPIs to vendors and enforce their compliance ?
  • How to audit software in the absence of source code and compiler settings ?
  • How to enable continuous integration and periodic reviews of vendor performance ?
  • How to go beyond source code analysis and assess an entire SSDLC, including defense in depth mechanisms ?
Unlike source code analysis, Moabi covers the entire Software Development Life Cycle (SSDLC).


Measure software across five analytics:
Legacy, Cryptography, Compliance, Hardening, Vulnerabilities.

Get automated reports:
Analysis reports, Remediation reports.


Fast analyze thousands of binaries per day.
Easy analyze entire Operating Systems, cloud images or IoT firmware.
Scalable Artificial Intelligence built in the cloud.
Uniform covers IoT, mobile and Enterprise software and standards.
No source code analyze third party programs.


Predictable cost predictable subsciption based model.
On demand pay for services actually used.
Compliant continuous learning of new standards and technologies.
Third party obtain ratings on third party software.
Cost control anticipate software maintenance costs.